System and Computer-Implemented Method for Analyzing Test Automation Workflow of Robotic Process Automation (rpa)

2. The method of claim 1, wherein the set of pre-defined test automation rules comprises at least one of a pre-defined number of loops, a pre-defined number of conditions, a pre-defined structured design, or at least one verification point.

3. The method of claim 1, further comprising performing corrective activity, for the analyzed workflow of the test automation, based on the corrective activity data.

5. The method of claim 1, wherein the workflow of the test automation comprises a combination of a set of test cases.

6. The method of claim 5, further comprising extracting one or more redundant sequences of at least one test case of the set of test cases into a separate reusable library for the analysis of the workflow of the test automation.

7. The method of claim 5, further comprising creating data-driven test automation based on a difference between a first test case of the set of test cases and a second test case of the set of test cases during data processing of the set of test cases.

8. The method of claim 1, wherein AI model corresponds to a pre-trained AI model that includes training data.

9. The method of claim 8, wherein analyzing the workflow of the test automation further comprises executing the set of pre-defined test automation rules based on the pre-trained AI model.

10. The method of claim 8, wherein the training data comprises at least one of standard test automation workflows, errors in test automation workflows, and standard framework documents.

12. The system of claim 11, wherein the set of pre-defined test automation rules comprises at least one of a pre-defined number of loops, a pre-defined number of conditions, a pre-defined structured design, or at least one verification point.

15. The system of claim 11, wherein the workflow of the test automation comprises a combination of a set of test cases.

16. The system of claim 15, wherein the at least one processor is further configured to execute the instructions to extract one or more redundant sequences of at least one test case of the set of test cases into a separate reusable library for the analysis of the workflow of the test automation.

17. The system of claim 15, wherein at least one processor is further configured to create data-driven test automation based on a difference between a first test case of the set of test cases and a second test case of the set of test cases during data processing of the set of test cases.

18. The system of claim 11, wherein AI model corresponds to a pre-trained AI model that includes training data, wherein training data comprises at least one of standard test automation workflows, errors in test automation workflows, and standard framework documents.

19. The system of claim 18, wherein to analyze the workflow of the test automation, the at least one processor is are further configured to execute the set of pre-defined test automation rules based on the pre-trained AI model.